OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Using convolutional neural network online estimators for predicting pain-level variability enables predictive control of anesthesia
Joren Heynen, Dana Copoţ, Mihaela Ghita, et al.
2022 26th International Conference on System Theory, Control and Computing (ICSTCC) (2021)
Closed Access | Times Cited: 10

Showing 10 citing articles:

Artificial intelligence and pediatric surgery: where are we?
Yuichiro Miyake, Giuseppe Retrosi, Richard Keijzer
Pediatric Surgery International (2024) Vol. 41, Iss. 1
Closed Access | Times Cited: 3

Parametric Modeling and Deep Learning for Enhancing Pain Assessment in Postanesthesia
Mihaela Ghita, Isabela Birs, Dana Copoţ, et al.
IEEE Transactions on Biomedical Engineering (2023) Vol. 70, Iss. 10, pp. 2991-3002
Open Access | Times Cited: 7

Artificial Intelligence-Driven Prognosis of Respiratory Mechanics: Forecasting Tissue Hysteresivity Using Long Short-Term Memory and Continuous Sensor Data
Ghada Ben Othman, Amani R. Ynineb, Erhan Yumuk, et al.
Sensors (2024) Vol. 24, Iss. 17, pp. 5544-5544
Open Access | Times Cited: 2

Bioelectrical impedance analysis of thermal-induced cutaneous nociception
Mihaela Ghita, Isabela Birs, Dana Copoţ, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104678-104678
Open Access | Times Cited: 6

Selecting Optimal Long Short-Term Memory (LSTM) Architectures for Online Estimation of Mean Arterial Pressure (MAP) in Patients Undergoing General Anesthesia
Ghada Ben Othman, Dana Copoţ, Erhan Yumuk, et al.
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5556-5556
Open Access | Times Cited: 1

Enhancing Pain Level Assessment in Post-Surgery Patients Using Artificial Intelligence Algorithms
G. Othman, Erhan Yumuk, Dana Copoţ, et al.
2022 European Control Conference (ECC) (2024), pp. 3051-3056
Closed Access | Times Cited: 1

Uncertainty Minimization for Systems with Measurable Disturbance. Study case of Anesthesia-Hemodynamic Interactions
Clara M. Ionescu, Robin De Keyser
2021 IEEE Conference on Control Technology and Applications (CCTA) (2022), pp. 1093-1098
Closed Access | Times Cited: 3

Uncertainty Minimization and Feasibility Study for Managing the Complex and Interacting Anesthesia-Hemodynamic System
Mihaela Ghita, Dana Copoţ, Isabela Birs, et al.
2022 IEEE 61st Conference on Decision and Control (CDC) (2022), pp. 6064-6069
Open Access | Times Cited: 3

Impedance Spectroscopy Sensing Material Properties for Self-Tuning Ratio Control in Pharmaceutical Industry
Mihaela Ghita, Isabela Birs, Dana Copoţ, et al.
Applied Sciences (2022) Vol. 12, Iss. 1, pp. 509-509
Open Access | Times Cited: 2

Time-frequency varying tissue impedance properties from noxious stimulation protocols
Mihaela Ghita, Maria Ghita, Dana Copoţ, et al.
(2022), pp. 000285-000290
Closed Access

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